Azure Data Engineer

Role & responsibilities

Role                                   : Azure Data Engineer

Experience                    :  (5-10years)

Company Location       : Hyderabad

About Feuji

Since its inception in 2014, Feuji, Inc. has come a long way. Within a few years, Feuji grew from a small team to more than 400 dedicated employees. Today, with its global network and industry-leading expertise in technology solutions and emerging digital business processes, Feuji provides a unique value proposition for its customers.

In the last few years, Feuji has actively supported multiple projects in India, Costa Rica, and the USA in the areas of healthcare, education, skill development, and ecological preservation. Whats next for Feuji? We are looking forward to continuing our work in the areas of digital transformation and sustainable community development by consistently delivering lasting positive impact.

JOB Description- Azure DE: 

Experience  

5 to 7 years of hands-on work experience

Responsibilities   

Design and develop business-critical backend systems using high-quality data pipelines.   

Assemble large, complex data sets that meet functional / non-functional business requirements.   

Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Azure Databricks and Azure Datafactory.   

Build a cloud-native, real-time stream processing & data lake platform that scales into the Zettabytes and beyond.   

Build data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.   

Ability to automate data pipelines using LogicApps, Devops   

Perform root cause analysis on external and internal processes and data to identify opportunities for improvement   

Adopt for change, always open to replacing what you built yesterday with something better today.   

Work with all stakeholders to design and code large scale batch and real-time data pipelines on the Azure.   

Perform code reviews, and lead by example on code refactoring for readability, extensibility, and testability   

 Requirements    

A bachelor's degree in computer science or equivalent   

Minimum 5+ years of experience as a Data Engineer,   

Experience with Azure big data tools: Azure Databricks, Azure Synapse, ADLS, Azure Datafactory   

Experience with relational SQL and synapse.   

Excellent problem solving and analytic skills associated with working on structured and unstructured datasets using Azure bigdata tools   

Experience with data pipeline and workflow management tools: ADF and Logic Apps   

Experience with Azure cloud services: Azure Databricks, Azure SQL DB, Azure Synapse   

Experience with scripting languages Python, PySpark